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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Debiasing Pre-Trained Language Models via Efficient Fine-Tuning
Michael Gira, Ruisu Zhang, Kangwook Lee
(2022)
Open Access | Times Cited: 23

Showing 23 citing articles:

Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 1097-1179
Open Access | Times Cited: 93
Addressing the antibody germline bias and its effect on language models for improved antibody design
Tobias Hegelund Olsen, Iain H. Moal, Charlotte M. Deane
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 17
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie, Thomas Lukasiewicz
(2023)
Open Access | Times Cited: 13
Debiasing large language models: research opportunities*
Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan
Journal of the Royal Society of New Zealand (2024) Vol. 55, Iss. 2, pp. 372-395
Open Access | Times Cited: 2
Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach
Tommaso Dolci, Fabio Azzalini, Mara Tanelli
Data Science and Engineering (2023) Vol. 8, Iss. 2, pp. 177-195
Open Access | Times Cited: 4
Endowing Pre-trained Graph Models with Provable Fairness
Zhongjian Zhang, Mengmei Zhang, Yue Yu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1045-1056
Open Access | Times Cited: 1
Optimizing Llama 7B for Medical Question Answering: A Study on Fine-Tuning Strategies and Performance on the MultiMedQA Dataset
N. Sulaiman, Farizal Hamzah
(2024)
Open Access | Times Cited: 1
Systematic Review of Empathic Conversational Agent Platform Designs and their Evaluation in the Context of Mental Health. (Preprint)
Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai, et al.
JMIR Mental Health (2024) Vol. 11, pp. e58974-e58974
Open Access | Times Cited: 1
Algorithmic Citizenship: Fostering Democracy, Inclusion and Explainability in the Era of Artificial Intelligence
Pio Alfredo Di Tore, Fabrizio Schiavo, Monica Di Domenico, et al.
Integrated science (2024), pp. 265-275
Closed Access
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change
Niklas Penzel, Gideon Stein, Joachim Denzler
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2024), pp. 90-101
Open Access
A Hierarchical Graph-Based Approach for Recognition and Description Generation of Bimanual Actions in Videos
Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi, et al.
(2024)
Open Access
Textuality, Corporeality, Citizenship
Monica Di Domenico, Fabrizio Schiavo, Tonia De Giuseppe, et al.
Advances in business information systems and analytics book series (2024), pp. 51-69
Closed Access
Combining Natural Language Generation and Graph Algorithms to Explain Causal Maps Through Meaningful Paragraphs
Tyler J. Gandee, Philippe J. Giabbanelli
Lecture notes in computer science (2024), pp. 359-376
Closed Access
A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos
Fatemeh Ziaeetabar, Minija Tamošiūnaitė, Florentin Wörgötter
IEEE Access (2024) Vol. 12, pp. 180328-180360
Open Access
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
Abhijith Chintam, Rahel Beloch, Willem Zuidema, et al.
(2023), pp. 379-394
Open Access | Times Cited: 1
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Robert Morabito, Jad Kabbara, Ali Emami
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4581-4597
Open Access
Designing AI Tools to Address Power Imbalances in Digital Labor Platforms
Carlos Toxtli, Saiph Savage
Human-computer interaction series (2023), pp. 121-137
Closed Access
Balaur: Language Model Pretraining with Lexical Semantic Relations
A. Mircéa, Jackie Chi Kit Cheung
(2023), pp. 10054-10070
Open Access
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Robert Litschko, Max Müller-Eberstein, Rob van der Goot, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 193-203
Open Access
Understanding the Effect of Model Compression on Social Bias in Large Language Models
Gustavo Gonçalves, Emma Strubell
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2663-2675
Open Access
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
Jad Kabbara, Jackie Chi Kit Cheung
(2023), pp. 10482-10494
Open Access
Artificial intelligence tools to promote social good in gig markets
Carlos Toxtli Hernandez
(2022)
Open Access
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, et al.
(2022), pp. 154-168
Open Access
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